code: def test_df_hashing_with_strings():
      source_uri = "test:/my/test/uri"
      source = TestDatasetSource._resolve(source_uri)
  
      dataset1 = PandasDataset(
          df=pd.DataFrame(
              [["a", 2, 3], ["a", 2, 3]],
              columns=["text_column", "b", "c"],
          ),
          source=source,
          name="testname",
      )
  
      dataset2 = PandasDataset(
          df=pd.DataFrame(
              [["b", 2, 3], ["b", 2, 3]],
              columns=["text_column", "b", "c"],
          ),
          source=source,
          name="testname",
      )
  
      assert dataset1.digest != dataset2.digest
  
imports: import json
  import pandas
  import pytest
  import mlflow.data
  from mlflow.data.code_dataset_source import CodeDatasetSource
  from mlflow.data.delta_dataset_source import DeltaDatasetSource
  from mlflow.data.filesystem_dataset_source import FileSystemDatasetSource
  from mlflow.data.pandas_dataset import PandasDataset
  from mlflow.data.pyfunc_dataset_mixin import PyFuncInputsOutputs
  from mlflow.data.spark_dataset_source import SparkDatasetSource
  from mlflow.exceptions import MlflowException
  from mlflow.models.evaluation.base import EvaluationDataset
  from mlflow.types.schema import Schema
  from mlflow.types.utils import _infer_schema
  from tests.resources.data.dataset_source import TestDatasetSource
label_desc: Use image node_id 15 for calling a global function with example usage: test_df_hashing_with_strings() without return types